Github Repository:
https://github.com/kedarkarpe/YouOnlyLookOnce-SmPl
Introduction:
Object detection is a fundamental task in computer vision. The problem of object recognition essentially consists of first localizing the object and then classifying it with a semantic label. In recent deep learning based methods, YOLO is an extremely fast real time multi object detection algorithm.
Model Architecture:
Implementation:
Results:
References:
- Original YOLO paper:https://arxiv.org/pdf/1506.02640.pdf
- Intuitive Explanation:https://towardsdatascience.com/yolo-you-only-look-once-real-time-object-detection-explained-492dc9230006
- YOLO Video Tutorial:https://www.youtube.com/watch?v=9s_FpMpdYW8&list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF&index=30
- mean Average Precision:https://medium.com/@jonathan_hui/map-mean-average-precision-for-object-detection-45c121a31173
- Intersection over Union:https://www.pyimagesearch.com/2016/11/07/intersection-over-union-iou-for-object-detection